435 results about "Error tolerance" patented technology

A wireless interface remote monitoring system for self-propelled irrigation systems (center pivot and lateral move sprinklers) includes a remote terminal unit (RTU) mounted on an outer drive tower of the irrigation system. The RTU includes a radio transceiver capable of sending and receiving data packets over a satellite or terrestrial telemetry backbone to and from a central control computer. The RTU further includes a current sensor and a GPS receiver both for detecting movement or non-movement of the sprinkler, a microprocessor with nonvolatile memory for storing current data and GPS coordinate data from readings taken in series over time, and a pressure or flow sensor for detecting the presence or absence of water flow at the outer drive tower of the sprinkler. The current sensor connected between the RTU and a tower drive motor, allows the RTU to calculate the “movement” or “non-movement” of the irrigation system over a specified time period. Redundantly, the GPS receiver records changes in position to indicate movement or non-movement within the GPS error tolerance. Once a change from movement to non-movement or vice-versa is determined, the RTU transmits the data by satellite or radio telemetry to a central control computer which logs the movement or non-movement of the monitored drive tower, the GPS coordinate data and the water status readings, all with time and date stamp. The central control computer creates “page message” and “text message” updates as necessary on the status of individual irrigation systems and “groups” of irrigation systems that are in turn delivered to wireless devices and computers for sprinkler operators.

An audio encoding apparatus capable of improving the frame cancellation error tolerance, without increasing the number of bits of a fixed code book, in a CELP type audio encoding. In this apparatus, a low frequency component waveform encoding part (210) calculates, based on a quantized LPC received from an LPC encoding part (202), a linear prediction residual signal of a digital audio signal received from an A/D converter (112), then performs a down sampling of the calculation result to extract the low frequency components comprising bands, which are lower than a predetermined frequency, in the audio signal, and then waveform encodes the extracted low frequency components to produce encoded low-frequency component information. Then, the low frequency component waveform encoding part (210) inputs this encoded low-frequency component information to a packetizing part (231), while inputting the quantized low-frequency component waveform encoded signal (sound source waveform), which has been produced by the waveform encoding, to a high frequency component encoding part (220).

Embodiments of the present invention provide a video data transmission processing method, a video data sending processing method, an apparatus, and a network system. The data transmission processing method includes: receiving a source stream sent from a source transmission network to a target transmission network; performing, according to respective packet loss rates of the source transmission network and the target transmission network as well as error tolerance aid information corresponding to the source stream, error tolerance coding processing on the source stream to obtain an error tolerance stream; and sending the obtained error tolerance stream to the target transmission network.

An apparatus, system, and method are disclosed for facilitating monitoring and responding to error events. An apparatus may includes a set of counters associated with a processing system resource, each counter associated with an error event and having attributes defining a count value, counter thresholds directly related to time, and empirical status information for the error event related to time. A user may adjust counter thresholds indirectly to set an error tolerance. An update module may update counters within the set based on an error event for the processing system resource. The management module persists and maintains a life cycle for counters based on counter attributes. Each counter may be of two types either a fixed counter that counts error events from a start time for a defined duration or a sliding counter that counts error events up to a predefined number of error events within a window of time.

A biometric user authentication method, includes enrolling a user based on user's biometric samples to generate user's reference data; and authenticating the user based on a user's live biometric sample and the user's reference data; wherein enrolling a user includes acquiring the user's biometric samples; extracting an enrollment feature vector from each user's biometric sample; computing a biometric reference template vector as a mean vector based on the enrollment feature vectors; computing a variation vector based on the enrollment feature vectors and the mean vector; randomly generating an enrollment secret vector; computing an enrollment code vector based on the enrollment secret vector and the variation vector; computing a difference vector as a wrap-around difference between the enrollment code vector and the mean vector; computing an error correction vector based on the enrollment secret vector to enable error correction during the user authentication phase according to a given error tolerance level, wherein the error correction vector is not computed if the error tolerance level is equal to zero; and storing the variation vector, the difference vector, and the error correction vector as a part of the user's reference data to be used during the user authentication phase.

The invention relates to a laser radar coaxial transmitting and receiving system and a coaxial adjustment method thereof and belongs to the technical field of laser radar, and the method can be used for solving the problem that the coaxial adjustment period of a laser radar receiving and transmission light path is long. The laser radar coaxial transmission and receiving system is composed of a laser device, a transmission telescope, a first reflecting mirror, a second reflecting mirror, a receiving telescope, a concave lens, a convex lens, a beam splitter, an optical fiber, a CCD (Charge Coupled Device) camera, a computer and a motor rotation control system. The coaxial adjustment method based on the system comprises the following steps: adjusting the visual field definition of the receiving telescope; when the receiving telescope receives background light, obtaining a standard centroid position acquired by the CCD camera; starting the laser device, calculating the real-time centroid position of an image acquired by the CCD camera in real time, and calculating the deviation between the two centroid positions; and controlling the pitching and bearing of the first reflecting mirror until the deviation reaches an error tolerance, thus realizing the coaxial adjustment. The method provided by the invention is applicable to the coaxial adjustment of a laser radar receiving and transmission system.

The invention discloses a high-integration-degree motor driving and charger-and-discharger integrated topology, wherein the topology belongs to the field of power transmission technology. According tohigh-integration-degree motor driving and charger-and-discharger integrated topology, a front-stage bidirectional DC/DC converter and a back-stage four-leg bidirectional converter are used as the motor driving and charger-and-discharger integration topology; a four-leg bidirectional converter is used as a motor driving inverter and a charging-and-discharging converter which do not operate simultaneously; in realizing bidirectional energy flow of a storage battery and a power grid, a motor stator winding is used as a filtering inductor in power integration. According to the method, multiple functions which comprise a rectification function and a power integration inverting function in motor driving and charger-and-discharger technology can be realized through the integrated topology; the motor winding is used as the filtering inductor, thereby eliminating an additional filtering inductor, greatly saving use of a switch device and an energy storage element, improving system power density and effectively suppressing a power entering current harmonic wave; and furthermore a single-phase charging-and-discharging structure with three parallelly connected phases has certain error tolerance performance.

Methods for improving the accuracy of characterizing unmonitored paths or virtual meters in a utility system. The hierarchical arrangement of IEDs in the utility system is determined. Measured quantities of a characteristic of the utility being monitored are received and error-adjusted using statistical or absolute methods. The statistical method accounts for the mean and standard deviation associated with error measurements of the subject IED, and the absolute method uses the absolute value of the error measurement, expressed as a percentage, to produce ranges of measured quantities within an error tolerance. The differences between the error-adjusted quantities are analyzed to determine whether an unmonitored path exists, and if so, whether the virtual meter is consuming or supplying the utility. The order in which IEDs are read is determined so that a parent and its children are read in sequence to increase synchronicity of the received data and the virtual meter evaluation.

The invention discloses a method and apparatus for forwarding a data packet in a time-triggered network. The method comprises the following steps: firstly, calculating a time routing forwarding table according to service flow and a topological structure of the network, configuring the time routing forwarding table in a switch, when the data packet arrives, inquiring the time routing forwarding table according to an HASH operation result of a feature field in the data packet to obtain an allowable arrival time slot of the data packet and an output port number of the data packet, comparing the arrival time slot with the allowable arrival time slot of the data packet, forwarding the data packet if the arrival time slot satisfies the allowable arrival time slot, and otherwise, discarding the data packet. Compared with the prior art, the method and apparatus disclosed by the invention have the advantages of reducing the design complexity of the switch of the time-triggered network, realizing error tolerance of the network and reducing the forwarding delay of the data packet, the method and apparatus can be applied to optical fiber channel networks, Ethernet and other scenes, the nodes of the network have a communication time having time synchronization, no conflict, low delay and certainty, and the demands of aerospace, medical technology , rail transit, automobile and other fields for high-speed, real-time and fault-tolerant communication applications can be satisfied.

The invention discloses a fatigue driving state detecting system and method based on decision-making level data integration. The fatigue driving state detecting system firstly uses an acceleration sensor to acquire motion acceleration of a steering wheel, judges motion states of the steering wheel based on dynamic acceleration threshold values, and primarily judges fatigue driving states of a driver based on 4s immobility theory. Detecting error tolerance is improved by setting errors of the steering wheel turning from left to right. Pulse time domain values of the driver can be acquired via a pulse sensor, and physiological states of the driver can be detected based on dynamic pulse threshold values. Integrated detecting results can be obtained by integrating two kinds of detecting results in decision making level. By the fatigue driving state detecting method based on decision-making level data integration, a fatigue driving state detecting prototype system is constructed. Compared with existing methods, the fatigue driving state detecting method based on decision-making level data integration has certain advantages in detection accuracy and perfect performance in response time, time complexity, memory occupation and the like of algorithms.

In connection with a machining program used in machining a workpiece by means of a machine tool controlled by a numerical controller, interpolation data, a command position point sequence, and a servo position point sequence for each processing period are determined by simulation by designating speed data for giving a machining speed and precision data for giving a machining precision. A predicted machining time for workpiece machining is determined based on the determined interpolation data, and a predicted machining error for workpiece machining is determined based on the determined command and servo position point sequences. Further, the precision data and the speed data are determined for the shortest predicted machining time within a preset machining error tolerance, based on a plurality of predicted machining times and a plurality of predicted machining errors.

The invention discloses an electric quantity consumption predicting method based on deep learning. According to the invention, a deep learning model is able to train a BP network according to the historical data as of now so as to achieve a better predicting effect. The reasons behind choosing the deep learning for electric quantity predicting are that it has a non-linear adaptive information processing ability unique to the neural network, that it has a strong error tolerance, and that it can be applied to the dynamic analysis for electric quantity consumption and meets a plurality of integrated factors such as time regularity and event suddenness. In the method, first, the intelligently sensed current and voltage data are calculated as electric quantity consumption amount for the training of a neural network so as to predict the electric quantity consumption at a next period. The predicted electric quantity consumption amount and the statistic power using duration are fed back to the user so as to guide him or her to conserve power. The method of the invention is simple and practical in use and can be applied to a smart home system connected via Wifi, and the method can also be used to predict the electric quantity consumption in regional and urban power grids.

The invention relates to the technical field of a rotation machine, more particularly to a rotation machine axial force testing apparatus and a testing method thereof. The apparatus comprises a housing, a bearing, a rotation shaft and a sensor. The rotation shaft is fixedly connected to the inner ring of the bearing. The outer ring of the bearing is fixedly connected with the housing. The rotation shaft is sleeved by the sensor. Signals outputted from the sensor are electrically connected to a signal processing device; the rotation shaft and a rotation machine are connected through a keyless connection component and the rotation shaft is connected with a motor through a shaft coupler. The apparatus has great universality to test the axial force of a variety of rotation machines. The apparatus can also carry out/perform in one direction or two directions with a 1% range error tolerance. Simple in structure, the apparatus is an independent device and is convenient to install. When in use, a rotation machine needs not to be modified. Capable of providing an effective means to problems of axial force balance among various machines, the apparatus and method can be promoted for wider applications.

The invention discloses a satellite image compression method and a device for realizing satellite image compression, belonging to the remote sensing and digital image processing field and solving the problems of high demand for encoded data transmission error rate and low processing speed in the existing image compression method. The method of the invention includes the steps of dividing a whole image into sub-images, independently encoding the sub-images, sequential initialization, removal of pixel redundancy, context extraction, preestimate, Golomb encoding and data polymerization; the steps of sequential gradient calculation and context environment parameters upgrade are finished simultaneously with the steps of preestimate and Golomb encoding. The invention improves image compression rate, realizes good error tolerance and good real-time performance and greatly improves the whole encoding efficiency, meeting the demand for wide satellite image data real-time nondestructive compression.

A method for surface modeling of images to produce realistic images or to provide simulations with accurate surface information is provided. More particularly, the present invention relates to a new subdivision depth computation technique and to an improved label-driven adaptive subdivision technique for use in Catmull-Clark subdivision surface modeling systems. The method comprises computing a subdivision depth to determine the number of recursive subdivisions which may be performed on a control mesh to generate a plurality of finer mesh elements while preserving a predetermined error tolerance, and using the computed subdivision depth to construct an adaptively refined mesh that is substantially similar to the control mesh within the predetermined error tolerance. Limit control surfaces with and without extraordinary vertices may be analysed using the method of the invention. In another aspect, a software program for accomplishing the method of the present invention is provided.

The invention relates to an intrusion detection independent analysis method in a cloud calculation environment. An intrusion detector is trained through an improved BP neural network; the intrusion detector detects preprocessed network data packages with abnormal network traffic in real time; the detected abnormal data is recognized by the intrusion detector, so that network intrusion behaviors of known types are recognized; and characteristics of network intrusion behaviors that cannot be recognized in type are extracted to be used as training samples for independent learning so as to provide sources for recognition of new types of network intrusion behaviors. The invention also relates to an intrusion detection system. The system comprises a data acquisition module, a data preprocessing module, an intrusion detector, a resource dispatching module, a response and warning module, a database and an error tolerance module. The system can perform detection and recognition on the network intrusion behaviors. According to the intrusion detection method and system, a new way for independent analysis and detection of network intrusion in the cloud calculation environment is created, the detection rate is high and the expansibility is good.

A neural network based detection of noise-source in air conditioner is carried out by: extracting dynamic characteristics; training neural network; and detecting noise source in air conditioner. It has distributive and parallel processing, non-linear mapping, self-adapting and robust error tolerance so as to be widely used in pattern identification, control optimization, intellectual data processing and fault diagnosis. Noises generated from different parts of air conditioner are detected in mode of neural network to determine effectively where a main noise exists with high robustness and intelligence. It can be used for noisy faults diagnosis of air conditioner or some electric appliance so as to qualify them.

The invention discloses a modularized fault-tolerance type permanent-magnet switched magnetic linkage linear motor, comprising a stator and a mover, wherein the stator is a flat plate or a cylinder formed by a toothed groove type iron core, the mover is a flat plate or a cylinder formed by a plurality of modules and reluctance pieces which are arranged at intervals, each module comprises two reversed U-shaped iron cores, a permanent magnet clamped between the two U-shaped iron cores, and a three-phase armature winding, armature teeth are formed on the sides of the two U-shaped iron core for clamping the permanent magnet, auxiliary teeth are formed on the sides of the two U-shaped iron core sides for clamping the reluctance piece, the three-phase armature winding is wound on the armature teeth, the auxiliary teeth are not wound with a winding, and N poles and S poles of adjacent modules are arranged at intervals. In the linear motor, the coil and the permanent magnet are arranged on the mover part, the stator part only consists of an iron core lamination at low cost and is particularly suitable for a long-distance linear motion drive system; in addition, the modularized design brings convenience to the assembly and is easy to implement the large-scale production.

The invention relates to a componential realizing method for a communication protocol. It defines the uniform interface standard, determines the componential mode, component developing platform, submits the component bank storage, improves the operation system and acquires the running supports. It has advantage to realize the reasonable package to the communication protocol, optimizes the reasonable call to the service realized by the protocol, and maintains excellent backwards compatibility. The componential communication protocol realizes the dynamic load of protocol, supports the repeatability and height configurability of the component, it has a short developing period, excellent transplantation. It is convenient to the assembly of protocol. It replaces the different protocol components through loading, provides each kind of network service function, service quality, especially suitable for the spot which is strict with the real-time, error tolerance and continuity.